Practical Multilevel Modeling

Documentation for package ‘MLMusingR’ version 0.4.0

cdata.ex	Clustered dataset for centering example
engage	Student engagement dataset (complete data).
engage.miss	Student engagement dataset (with missing data).
glance.CR2	Glance at goodness-of-fit statistics
group_center	Group-mean center a variable
group_mean	Computes the group mean of a variable
hdp	Hospital, doctor, patient (hdp) dataset
Htest	Test for homoskedasticity at level one
lrtPV	Likelihood Ratio Test with Model Results Using Plausible Values
MatSqrtInverse	Compute the inverse square root of a matrix
mixPV	Fit Weighted Multilevel Models Using Plausible Values
nmiss	Amount of missing data per variable
pisa2012	USA data from PISA 2012
pool_pv	Pool plausible values using Rubin's rules
ri_test1	Sample dataset 1 for testing the likelihood ratio test
ri_test2	Sample dataset 2 for testing the likelihood ratio test (LRT)
robust_mixed	Cluster robust standard errors with degrees of freedom adjustments for lmerMod/lme objects
satdf	Compute Satterthwaite degrees of freedom
sch29	Data from 29 schools (based on the NELS dataset) used for regression diagnostics
summary.mixPV	Create summary output from the mixPV function
summary_all	Use the summary function on a saved list of mixPV results
suspend	Suspension data from Virginia
thai	Thai data from PISA
thai.sm	Thai data from PISA (reduced)
tidy.CR2	Tidy a CR2 object
tidy.mixPV	Helper function to allow use with modelsummary
wide	Wide dataset to be used for growth modeling
wscale	Scale of Sampling Weights